code: def test_random_walks_padded_0(graph_file, directed):
      max_depth = random.randint(2, 10)
      print("max_depth is ", max_depth)
      input_graph = graph_file.get_graph(
          create_using=cugraph.Graph(directed=directed)
      )
  
      path_data, seeds = calc_random_walks(
          input_graph, max_depth=max_depth, use_padding=True
      )
  
      check_random_walks_padded(
          input_graph, path_data, seeds, max_depth
      )
  
      # test for 'legacy_result_type=False'
      path_data, seeds = calc_random_walks(
          input_graph,
          max_depth=max_depth,
          use_padding=True,
          legacy_result_type=False,
      )
      # Non 'legacy_result_type' has an extra edge 'path_data'
      check_random_walks_padded(
          input_graph,
          path_data,
          seeds,
          max_depth + 1,
          legacy_result_type=False,
      )
  
file_path: cugraph/python/cugraph/cugraph/tests/sampling/test_random_walks.py
imports: import gc
  import random
  import pytest
  import networkx
  import cudf
  import cugraph
  from cudf.testing import assert_series_equal
  from cugraph.utilities import ensure_cugraph_obj_for_nx
  from cugraph.testing import SMALL_DATASETS, DEFAULT_DATASETS
label_desc: Use image node_id 7 for calling a global function with example usage: test_random_walks_padded_0(graph_file, directed) without return types